---
date: 2019-09-01
authors: [ritchieng]
description: >
  I created and led a workshop on accelerating fractional differencing with NVIDIA's RAPIDS in DBS, one of the largest bank in Singapore.
categories:
  - Workshops
comments: true
---

# GPU Fractional Differencing with NVIDIA RAPIDS

I created and led a workshop on accelerating fractional differencing with NVIDIA's RAPIDS in DBS.

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This is our [article](https://medium.com/rapids-ai/rapid-fractional-differencing-to-minimize-memory-loss-while-making-a-time-series-stationary-2052f6c060a4) on medium with NVIDIA on our work.

You can check out our [presentation](https://www.researchgate.net/publication/335159299_GFD_GPU_Fractional_Differencing_for_Rapid_Large-scale_Stationarizing_of_Time_Series_Data_while_Minimizing_Memory_Loss) and open-source [code](https://github.com/ritchieng/fractional_differencing_gpu) on Github.

![](https://res.cloudinary.com/ritchieng/image/upload/v1583310918/deeplearningwizard.com/dbsnvidiaensemble_1-1024x768.jpg)

Thanks to our industry partners DBS, NVIDIA and ensemblecap.ai

Cheers,
<br />Ritchie